Principal component analysis / I.T. Jolliffe.
Principal component analysis is central to the study of multivariate data. Although one of the earliest multivariate techniques, it continues to be the subject of much research, ranging from new model-based approaches to algorithmic ideas from neural networks. It is extremely versatile, with applica...
Saved in:
| Online Access: |
Full Text (via Springer) |
|---|---|
| Main Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
New York, NY :
Springer,
[2002]
|
| Edition: | Second edition. |
| Series: | Springer series in statistics.
|
| Subjects: |
Search Result 1
Search Result 2
Search Result 3
